{"id":2802948,"url":"https://alion.io/job/principal-financial-group-lead-data-engineer","title":"Lead Data Engineer","company":{"id":9346,"name":"Principal Financial Group","domain":"principal.com","url":"https://alion.io/company/principal-financial-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"IAM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-07-27T07:54:37Z","employer_posted_date":null,"last_verified_at":"2026-07-27T07:54:37Z","board_verified":false,"closed_at":null,"days_open":89,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":89},"description":"Role : Lead Data Engineer \n\nJob Description : \n\nAre you ready to lead a dynamic team and drive impactful data engineering solutions? At Principal, we offer an outstanding opportunity for an ambitious Lead Data Engineer to join our Enterprise Architecture engineering team. Here, you will work on groundbreaking projects, using automation, CI/CD, and Agile delivery approaches to deliver detailed results.\n\nKey Responsibilities : \n\nAs a Lead Data Engineer, your responsibilities will include : \n\n- Support data management, LeanIX platform configurations and integrations, and application development.\n\n- Build, develop, and maintain data pipelines through AWS cloud offerings alongside Snowflake.\n\n- Maintain data using Snowflake data products.\n\n- Coordinate and refine database updates using SQL, Snowflake technologies, and version control techniques.\n\n- Apply AWS services including Lambda, S3, SNS, SQS, IAM, EventBridge, DynamoDB, KMS, and CloudWatch.\n\n- Quickly grasp and adjust to new AWS services and developing cloud technologies.\n\n- Create complex SQL queries and lead Power BI reports, dashboards, and visualizations.\n\n- Develop programming solutions using Python and/or TypeScript.\n\n- Perform automated testing, pipeline automation, and apply CI/CD tools.\n\n- Work within Agile methodologies to ensure efficient project delivery.\n\n- Exhibit leadership capabilities, leading the work for a small team.\n\n- Mentor team members, providing technical guidance and support.\n\n- Evaluate build options, making sound technical decisions and trade-offs.\n\n- Collaborate effectively with collaborators and Enterprise Architects.\n\n- Potentially handle LeanIX platform administration, maintenance, and integrations.\n\nRequired Skills and Experience : \n\nTo be successful in this role, you should have : \n\n- Experience in building data pipelines, Python or Typescript, PowerBI and AWS.\n\n- Practical experience working with AWS services or Snowflake.\n\n- Skilled in Snowflake, SQL, and handling database changes.\n\n- Advanced SQL query development skills.\n\n- Experience building and supporting Power BI reports and dashboards.\n\n- Proficiency in programming with Python and/or TypeScript.\n\n- Experience with automated testing, continuous integration and delivery tools, and Agile methodologies.\n\n- Demonstrated ability to lead, mentor, and develop a team.\n\n- Excellent collaboration and communication skills.\n\nQualifications : \n\n- 6 to 8 years of relevant experience.\n\n- Bachelors degree or Masters degree or equivalent experience in Computer Science, Technology, Engineering, Mathematics, or a related field (B.E. / B.Tech / M.S. / M.Tech / MCA).\nSkills\nData Engineering, Data Management, LeanIX, AWS, Snowflake DB, Python, TypeScript, Power BI, Data Pipeline, SQL","description_format":"text","description_chars":2753,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds","Life Insurance & 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